A new study in Engineering has identified a notable cybersecurity risk in smart grids. As these grids grow more complex with ...

GraalVM JDK release features a new generation of ML-enabled profile inference that boosts peak performance nearly 8% on ...

The key to addressing these challenges lies in separating the encoder and decoder components of multimodal machine learning models.

Among the most commonly used attack techniques are classification algorithms, particularly LSTM, which appeared in five of ...

Technology originating in the Johns Hopkins Center for Bioengineering Innovation & Design uses AI to rapidly identify ...

Machine learning (ML) is revolutionizing industries, from healthcare to finance, and even entertainment. If you’ve ever ...

With command: python main.py -f "test" -r "2000x1200" -nodes "2 8 3" -hidden "3" -colors "seagreen black royalblue gray" ...

A resident electricity load identification algorithm based on convolution neural network (CNN) is studied [10]. The algorithm turns the method based on current vector feature extraction to the method ...

Researchers from the Yunnan Observatories of the Chinese Academy of Sciences and Southwest Forestry University have developed ...

Examples like Intel's Loihi chips tend to get competitive performance out of far lower clock speeds and energy use, but they ...

Novel artificial neurons learn independently and are more strongly modeled on their biological counterparts. A team of researchers has programmed these infomorphic neurons and constructed artificial ...